Call for Paper

Contributions can range from research concepts and ideas to technical issues and industrial applications, and are encouraged from, but not limited to, the themes and topics in the following areas:

Track 1: Cognitive Communications & Intelligent Networking

Cognitive Radio Networks and Spectrum Sensing

AI-Driven Network Traffic Management and Optimization

Cognitive Low Power Wide Area Networks (Cognitive-LPWAN)

Intelligent Wireless Services in Hybrid IoT Environments

Track 2: Neuro-Inspired Computing & Cognitive Architectures

Neuromorphic Computing and Brain-Inspired Hardware

Hybrid AI Models: Integrating Symbolic and Subsymbolic Approaches

Cognitive Computing for Real-Time Decision Support Systems

Cognitive Architectures for Autonomous Systems

Track 3: Human-Robot Interaction & Cognitive Robotics

Cognitive Models for Human-Robot Collaboration

Emotion Recognition and Adaptive Interaction in Robotics

Cognitive Control Systems for Autonomous Robots

Ethical Considerations in Cognitive Robotics

Track 4: Artificial Intelligence in Cognitive Systems

Machine Learning and Deep Learning for Cognitive Applications

AI-Driven Cognitive Models for Complex Problem Solving

Cognitive Computing in Natural Language Processing

AI Ethics and Bias Mitigation in Cognitive Systems

Track 5: Cognitive Internet of Things (CIoT)

Intelligent Sensing and Context-Aware Computing

Cognitive Decision Making in Smart Environments

Security and Privacy Challenges in CIoT

Applications of CIoT in Healthcare and Urban Planning

Track 6: Cognitive Cyber-Physical Systems (CPS)

Real-Time Cognitive Control in Industrial CPS

Cognitive Modeling for Autonomous Vehicles

Human-in-the-Loop Systems in CPS

Resilience and Fault Tolerance in Cognitive CPS

Track 7: Cognitive Computing in Healthcare

AI-Based Diagnostic Systems and Personalized Medicine

Cognitive Assistive Technologies for Elderly Care

Cognitive Data Analytics in Medical Imaging

Ethical Implications of AI in Healthcare Decision Making

Track 8: Cognitive Systems in Education & Training

Intelligent Tutoring Systems and Adaptive Learning Platforms

Cognitive Load Management in E-Learning Environments

Gamification and Cognitive Engagement in Education

AI-Powered Assessment and Feedback Systems

Track 9: Cognitive Systems for Smart Cities

Intelligent Traffic Management and Urban Planning

Cognitive Surveillance and Public Safety Systems

Smart Energy Management and Sustainability

Citizen Engagement through Cognitive Technologies

Track 10: Ethics, Policy, and Governance in Cognitive Technologies

Regulatory Frameworks for AI and Cognitive Systems

Ethical Implications of Cognitive Technology Deployment

Privacy and Data Protection in Cognitive Systems

Public Policy Strategies for Cognitive Technology Integration